2. VMTurbo Overview
• Founded in 2009
• VMTurbo Operations Manager launched in
September 2010
• An award-winning Intelligent Workload
Management solution
• 8,000+ users; 160+ customers worldwide
• Growing Channel Ecosystem
Our Focus: Rethink the Approach to IT Operations Management
3. Virtualization Introduces Broad Set of Management Decisions
1
VM and Application Sizing:
Determining the number of instances,
resource allocations, and appropriate
VM VM VM VM VM VM VM prioritization to meet business demands
2
Initial and Ongoing Placement Decisions:
Determining where workloads should run – or be relocated to –
across the available compute, storage and network resources
3
Capacity Management:
Determining how much capacity to
configure today, as the environment
grows, and during hardware refresh cycles
To be effective, these decisions must be made holistically
4. And the Number of Control Points Increases Exponentially
• Multiple layers
• Multiple entities in each layer
• Dozens of controls for each entity
VM VM
Hypervisor • Thousands of control points
• Interdependencies galore
• An overflow of metrics across the
board
4
5. Rethinking the Approach to IT Operations Management
Iterative Advancements in the “State of the Art”
Collect Threshold Alert
Suppress &
Correlate
Learn
Predict
Stop Collecting – Start Controlling
Stop Alerting – Start Preventing
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6. A Smarter Way: Intelligent Workload Management
• Changes the way virtualized data centers are controlled
• Provides a closed loop system that automates the decision-making process
• Focuses on 2 key business requirements
Efficiently
Assuring utilizing the
Application underlying
Performance infrastructure
7. Intelligent Workload Management is About
Maintaining the Optimal Operating Zone
ms
Doing this in a virtual
Optimal Operating environment with
Delay
Zone • Workload fluctuations
• Shared resources
• Interdependencies
QoS Guarantee
• Configuration changes
Efficiently
• New applications,
Assuring utilizing the
users and hardware
Application virtualized
0% Utilization 100%
Performance infrastructure
…Requires constant tuning & optimization
8. How Is VMTurbo Different?
Economic Scheduling Engine
Market-based Approach:
• Abstraction representing the IT infrastructure as a marketplace
• Applications & physical resources depicted as buyers & sellers
Combined with Analytics:
• Driving intelligent decision-making for resource allocation
• Rapidly adjusting to changes in workload demand & capacity
Result: Executable Actions Which Prevent Problems and Drive a Healthy &
Efficient Infrastructure
9. What VMTurbo Operations Manager Does
Discover Converge Control Simulate
• Virtual appliance • Immediately delivers • Continuously profiles and • Models the effect of
installs in minutes actionable tunes environment changes to the
• Single instance recommendations • Automates resource environment
manages vSphere, • Drives the environment to allocation and placement • Projects future demand
XenServer, Hyper-V healthy state decisions based on trends
• No “self-learning” & • Assures QoS and • Addresses contention • Delivers plans to
no new databases maximizes efficiency before problems occur accommodate growth
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10. Intelligent Workload Management Delivers IT
Automation & Control
VMTurbo Operations Manager
Key Benefits
VM Placement
Configuration
Constraints
VM Configurations • Service & application
assurance
VM Relocation
Real Time
Operations • Operational & labor
Application Resourcing
Economic efficiency
Scheduling …
Engine • Improved resource
Compute
Resource
Performance Server Packing utilization
Metrics
Capacity
Storage Resourcing • Simplified virtualization
Service Level Application Sizing management
Intelligent
Priorities Planning
Server Refresh Planning IT Automation & Control
Abstraction, Analysis & Automated Actions
11. A Smarter Way to Control Your Virtualized Data Center
Close the Loop
• Stop collecting & alerting – Start preventing &
controlling
Improve Efficiency
• Increase utilization through iterative planning &
capacity management
Simplify & unify virtualization management
Take the Challenge
• Minutes to value – Free – www.vmturbo.com/download
11
13. Comparing Approaches to Operations Management
Attribute Competitive Approach VMTurbo Approach
Inbound alert mechanisms require administrators to Closed-loop control system that continuously
Automation &
interpret data, determine fix, and then enact identifies areas of congestion and automatically
Control remediation applies the proper action to remediate
Prevents problems by continuously tuning the
Threshold-driven, alert-triggered approach to problem
Problem Handling environment to maintain health and avoid
avoidance
bottlenecks
Coarse-grained, aggregate metrics taken in as small as 5- Real-time metrics drive pricing algorithm for
Granularity
minute chunks immediate response to escalating contention
Based on available “first fit” decision by VM Holistically assess the entire environment to
Placement
configuration and do not take other factors into determine the most optimized configuration
Decisions consideration inclusive of the incoming workload
Planning Capacity-driven analysis based on workload Performance-driven analysis based on workload
Methodology configuration characteristics and holistic view of entire system
14. Comparing Approaches to Operations Management (2)
Attribute Competitive Approach VMTurbo Approach
Unified virtualization management, including
Closed system for hypervisor vendors;
Platform Support vSphere, XenServer, Hyper-V, CloudStack, vCloud
3rd-party vendors require separate appliances
Director – all from a single appliance
Purpose-built system designed to control the virtual
Assembled technologies with multiple databases and
Architecture environment with market analytics in an automated
user interface overlays
fashion
Provides actionable, intelligent control within
Requires time to collect metrics and “learn” behaviors
Time-to-value minutes of deployment – converges environment to
before delivering data for analysis
healthy state, and maintains it there
Per-VM license packs create density-tax and make Per-socket licensing provides lower ongoing costs
Licensing Model
budgeting complicated, costs range over $2k/host and more certainty in budgeting, costs ~$1k/host
Drill-down analysis requires high-cost, experienced Automated decisions and preventive measures
TCO admins; resource intensive troubleshooting and SLA eliminate “fire drills,” reduce operator overhead, and
exposure not resolved assure application performance
15. Platform Approach to Intelligent Control
Across the Data Center
Prevent Detect Resolve Control Plan Optimize Alert Report
Automation & Presentation Layer
Analytic Layer – Economic Scheduling Engine
Abstraction Layer – The Market
Mediation Layer
vSphere Compute Storage
App Delivery
Controllers vCloud XenServer
Director CloudStack
Hyper-V
15
16. Economic Scheduling Engine – A Market Approach
Commodities Market – Trading Compute
Abstraction
Resources
VM VM
Hypervisor
VM
Buyers Sellers Buyers Sellers Buyers
Sellers Buyers Sellers Buyers Sellers
16
18. Assure Application QoS: Right-sizing a Virtual Machine
VM Prices VM ROI >> 0 VM Prices
[ROI = Rev. – Exp.]
Application VM VM
Workload in Resource Resource
a VM Utilization Utilization
VM VM VM VM VM
Hypervisor
19. Business Challenges Resolved with This Approach
• Preventing performance issues related to workload delays or outages
• Remediating building contention – maintaining/improving “health”
• Reducing the risk of production outages
• Improve utilization and intelligently plan for VM growth
• Increase VM density – reduce cost
• Plan accurately for new projects, organic growth and hardware refresh
• Reduce CAPEX on servers & associated software
• Improve the efficiency of operational resources
• Drive automation and control across the environment – better admin/server ratios
• Reduce trouble-tickets and OPEX costs associated with the environment
19
Product has been in market for just over 18months stemming from innovation from the founding team at SMARTS – acquired by EMC in 2004. Deep rooted history and IP in building management technologies for large, complex, distributed IT environments.Since our product launch in in Oct 2010, the first 6 months focused on proving out the technology – but we now have a mature and award winning IWM solution. We have seen huge adoption growth in past calendar year adding more than 100 customers since summer of last year.We have more than 4,000 users of our free monitoring, reporting and alerting offering and over 150 paying customers using our intelligent, automated data center control product – VMTurbo Operations ManagerCustomers range from the worlds biggest cloud providers, to large enterprises and enlightened IT departments at mid-sized businessesAll are unified by the same desire to Think Differently about their approach to IT Operations Management
